195 Postgis Jobs - Page 8

Role: Tech Lead / Full Stack Web Developer Industry Type: Space Technology Location: Bangalore / Ahmedabad Employment Type: Full-time Role Overview As the Full Stack Tech Lead, you will be responsible for architecting, developing, and maintaining the entire web platform — from frontend UI/UX to backend services and infrastructure deployment. You will collaborate closely with product managers, remote sensing engineers, and the DevOps team to deliver a responsive, scalable, and reliable system that enables real-time maritime intelligence using satellite imagery, AIS, and machine learning. You will also mentor other developers, make key architectural decisions, and define best practices to ensure the platform scales seamlessly with expanding data, use cases, and users. Responsibilities System Architecture & Product Leadership Architect the full Maritime Analysis and Tracking System, ensuring alignment with business needs and technical constraints. Manage the full product development lifecycle, from initial concept to production deployment Make critical decisions on technology stacks, architectural patterns, and system scalability Create detailed product specifications and technical documentation for engineering and stakeholder alignment. Team Management & Delivery Lead and manage a small team of frontend, backend, and infra developers. Provide technical mentorship and code reviews to ensure quality and consistency. Ensure on-time delivery, adherence to scope, and enforcement of quality standards. Work in agile sprints using tools like ClickUp or Jira to manage progress and dependencies. Full Stack Development Design and build scalable backend APIs using Django or FastAPI. Develop user-facing web applications with React.js, Next.js, and TailwindCSS. Integrate geospatial components such as Mapbox, Leaflet, OpenLayers for rendering and interacting with maritime data. Connect frontend apps to backend systems via REST APIs, WebSockets, and database queries (PostGIS). Geospatial Data & Maritime Intelligence Work closely with remote sensing engineers to serve and visualize AIS data, SAR detections, ship routes, and anomaly layers. Design and optimize spatial databases and satellite data query pipelines. Cloud Infrastructure & DevOps Deploy and manage microservices on AWS/GCP using Docker and Kubernetes. Set up CI/CD pipelines for testing, deployment, and infrastructure management. Monitor system performance and reliability using Prometheus, Grafana, and logging tools. Ensure security, scalability, and disaster recovery for deployed services. Cross-functional Collaboration & Innovation Collaborate with design, engineering, and marketing teams for seamless feature rollouts. Continuously evaluate and integrate new tools, frameworks, and cloud services. Participate in UI/UX feedback loops, and help evolve the platform based on user needs and performance analytics. Key Skills And Qualifications Core Requirements 4–6 years of full-stack web development experience, ideally in SaaS or platform products. Deep knowledge of Python, Django/FastAPI and JavaScript/React/Next.js. Proficiency with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure). Experience designing and managing PostgreSQL/PostGIS databases for geospatial data. Hands-on experience with CI/CD, Git workflows, and automated testing pipelines. Solid grasp of product management principles, sprint cycles, and stakeholder coordination. Leadership & Communication Proven experience leading development teams and mentoring junior developers. Excellent communication skills with the ability to translate technical details for non-technical teams. Strong problem-solving and decision-making abilities in high-stakes, fast-moving environments. Preferred Qualifications Experience in geospatial software development. Exposure to cloud-based image processing pipelines or large-scale data workflows. Certifications in AWS, Azure, or Google Cloud. Experience with real-time data systems, event queues (e.g., RabbitMQ), and alerting infrastructure. Benefits This is a rare opportunity to lead the creation of a real-world, data-driven platform that empowers governments, maritime agencies, and conservation groups to see, understand, and act on maritime activity in real time. If you want to build something that truly matters — this is your mission. Mentorship from experienced engineers in the field Thriving Growth-Mindset Team Lots of Fun! Show more Show less

Job Title: Data Engineer – Geospatial Development Location: Kochi (or Remote/Hybrid based on discussion) Job Type: Full Time Experience: 3+ years in Data Engineering with hands-on Geospatial Development Job Summary: We are seeking a highly skilled Data Engineer with experience in geospatial data processing and visualization. The ideal candidate will have strong Python skills along with experience in geospatial platforms like ESRI ArcGIS, QGIS, and Google Earth. You should be comfortable developing map-based interfaces and visualizations using libraries such as GeoPandas, Leafmap, Leaflet, Mapbox, and Folium. This role will also involve developing robust data pipelines, managing spatial data storage, and supporting analytics and insights on geospatial datasets. Key Responsibilities: Design, implement, and optimize spatial and non-spatial data pipelines. Develop interactive geospatial data visualizations and dashboards using modern Python libraries and mapping tools. Work with tools like ESRI ArcGIS, QGIS, and Google Earth to process and analyze geospatial data. Integrate various data sources into geospatial data models and visualization platforms. Leverage Python (GeoPandas, Folium, Leaflet, Mapbox, Leafmap, etc.) for geospatial data transformation and analysis. Manage large spatial datasets in cloud environments (preferably Azure or AWS). Collaborate with data scientists and analysts to deliver geospatial insights. Ensure data integrity, performance, and security in all pipeline operations. Document technical solutions and develop reusable components and templates. Required Skills: 3+ years of experience in Data Engineering and geospatial development. Proficiency in Python with geospatial libraries (GeoPandas, Shapely, Leafmap, Folium, etc.). Hands-on experience with ESRI ArcGIS, QGIS, Google Earth, or similar platforms. Experience with web mapping tools and interfaces (Leaflet, Mapbox). Strong skills in SQL and working with spatial databases (PostGIS, SQL Server with spatial extensions). Solid understanding of coordinate systems, projections, and spatial analysis techniques. Cloud experience with services such as Azure Blob Storage, Azure Data Factory, AWS S3, or Google Cloud Storage. Preferred Qualifications: Familiarity with ETL workflows involving spatial data. Experience with containerization tools (Docker) and CI/CD pipelines. Exposure to Agile methodologies and collaborative team environments. Knowledge of metadata standards and geospatial data governance practices. Bachelor’s or Master’s in Computer Science, GIS, Geomatics, or a related field. Show more Show less

Job Title : Software Developer Maritime Type : Full-time | Required : 3+ : Maritime / Shipping / Logistics / : Maritime Domain Developer (Any Tech Summary : We are seeking a versatile Developer with experience or interest in the Maritime Domain to join our team. This role focuses on building software systems that support maritime operations, surveillance, logistics, and situational awareness. We welcome candidates skilled in any programming language or technology stack, as long as you bring a solid understanding of or passion for the maritime environment. Responsibilities Whether you work in Python, Java, .NET, JavaScript, C++, cloud platforms, Mobile Applications, React or GIS we want your Responsibilities : Design, develop, and maintain applications that support Maritime Domain Awareness (MDA), navigation, security, or port operations. Integrate maritime data sources such as AIS, radar, sonar, satellite, EO/IR, or weather feeds. Build APIs, data pipelines, or dashboards to visualize vessel movement and maritime activity. Collaborate with maritime analysts, engineers, and end-users to deliver practical solutions. Ensure systems meet performance, security, and compliance standards for maritime use. Participate in the full development lifecycle : requirements, design, coding, testing, and deployment. Adapt and implement open-source or proprietary maritime tools where Skills & Experience : 2+ years of experience in software development using any modern programming language or framework. Examples : Python, Java, JavaScript/Node.js, C#, C++, Go, or similar. Familiarity or hands-on experience with the maritime domain : Examples : AIS data, vessel tracking, VTS, port logistics, marine sensors, ocean monitoring. Comfortable working with any of the following (not all are required) : Front-End : React, Angular, Vue, HTML/CSS. Back-End : Django, Flask, Spring, .NET Core, Express.js. Databases : SQL, NoSQL, PostGIS, TimescaleDB. Cloud : AWS, Azure, GCP (any services or deployment models). GIS & Maps : ArcGIS, Leaflet, CesiumJS, OpenLayers. DevOps : Docker, Git, CI/CD pipelines. Strong problem-solving, debugging, and communication skills. Schedule Day shift : Monday to Friday (ref:hirist.tech) Show more Show less

We are seeking a highly skilled Python Developer with a strong GIS background to join our team.The ideal candidate will be responsible for developing and maintaining web-based GIS applications, managing geospatial data workflows, and leveraging geospatial Python libraries to solve real-world spatial problems. Experience with Django, GDAL, and other Python-based geo libraries is a must. Key Responsibilities: Develop, maintain, and optimize GIS-based web applications using Python and Django. Work with geospatial data formats such as Shapefiles, GeoJSON, KML, and raster datasets. Utilize libraries such as GDAL, Fiona, Shapely, Rasterio, GeoPandas, and PyProj for data processing and spatial analysis. Integrate mapping solutions and visualization tools like Leaflet.js, OpenLayers, or Folium (optional). Develop and manage APIs for spatial data access and manipulation. Perform spatial analysis, data conversion, and coordinate system transformations. Write clean, scalable, and well-documented Python code. Collaborate with frontend developers, GIS analysts, and data engineers to implement features and resolve issues. Required Skills and Qualifications:Proficiency in Python with experience in geospatial programming. Hands-on experience with Django or similar web frameworks. Strong understanding of GIS concepts, spatial databases, and coordinate reference systems. Expertise in geospatial libraries such as: GDAL/OGR GeoPandas Shapely Fiona Rasterio PyProj Experience with spatial databases (PostgreSQL/PostGIS is a plus). Familiarity with RESTful APIs and integrating geospatial data services. Knowledge of data formats like GeoTIFF, GeoJSON, WKT, WKB. Ability to handle large spatial datasets efficiently. Experience- 2 years Salary - 4,00,000 - 6,00,000 Per annum (Negotiable) Show more Show less

We are Hiring! #Job Title: Geospatial Data Scientist Garudalytics seeking a talented and motivated Geospatial Data Scientist to join our dynamic team. The ideal candidate will have a strong educational background in GIS and remote sensing, coupled with hands-on experience in processing and analysing geospatial data. You will leverage your expertise in Python and various GIS tools to transform complex datasets into actionable insights. Key Responsibilities: -Develop and deploy machine learning and deep learning models. - Design and implement NLP solutions. - Analyze complex data sets to inform business decisions. -Collaborate with cross-functional teams. -Mentor junior team members. -Analyse and interpret geospatial data from multiple sources, including satellite imagery and GIS datasets. -Develop and implement algorithms for data processing, analysis, and visualization using Python. -Utilize ArcGIS and QGIS for spatial analysis and mapping. -Generate APIs to fetch and manage geospatial data efficiently. -Collaborate with cross-functional teams to integrate geospatial analysis into broader projects. -Conduct research and apply best practices in remote sensing and geospatial analysis. -Present findings and insights to stakeholders through reports and visualizations. Qualifications: Education: Master’s degree in Geoinformatics or GIS Experience: -Minimum 2 years of experience in geospatial data analysis or related field. Hands-on experience with Python for geospatial data manipulation and analysis. -Proficiency in ArcGIS and QGIS. -Familiarity with API development and data fetching. Skills: -Strong analytical and problem-solving abilities. -Excellent communication skills, both written and verbal. -Ability to work independently and collaboratively in a team environment. -Attention to detail and commitment to high-quality deliverables. Preferred Qualifications: Experience with machine learning techniques applied to geospatial data. Knowledge of API integration and data fetching Experience with object detection algorithms Understanding of spatial databases (e.g., PostGIS). 3-5 years of experience in data science, machine learning, and deep learning. 2. Strong expertise in ML, DL, and NLP. 3. Proficiency in Python, TensorFlow, PyTorch, or Keras. 4. Experience with NLP libraries (NLTK, spaCy). Position: Geospatial Data Scientist Location: Hyderabad Job Type: Full-Time Department: Data Science How to Apply: Interested candidates are encouraged to submit their resume and a cover letter detailing their relevant experience to hr@garudalytics.com along with cover letter. Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹700,000.00 per year Benefits: Health insurance Provident Fund Schedule: Morning shift Supplemental Pay: Performance bonus Ability to commute/relocate: Kukatpally, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Experience: Data science: 2 years (Required) Work Location: In person Application Deadline: 07/06/2025 Expected Start Date: 20/06/2025

Location: Hyderabad, Pune, Benguluru, Delhi, Mumbai, Kolkata, Chennai  Bachelor's degree in Computer Science, Information Technology, or related field. 4+ years of hands-on experience as a PostgreSQL DBA in a production environment. Strong knowledge of PostgreSQL architecture, internals, and extensions (e.g., PostGIS, pg_stat_statements). Proficient in performance tuning, query optimization, and indexing. Experience with HA/DR solutions like Patroni, PgBouncer, Streaming Replication. Show more Show less

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Geospatial Applications Developer The Geospatial Applications Developer will play a crucial part in designing, developing, and implementing GIS solutions using the full ESRI stack and other geospatial libraries and toolsets. You will leverage your experience with ArcGIS SDKs, web APIs, .NET, Python, and Spark to build robust, scalable, and innovative GIS applications that address complex geospatial challenges for our organization and clients. Key Responsibilities Develop, maintain, and enhance GIS applications using the ESRI suite of tools (ArcGIS SDKs, ArcGIS Enterprise, ArcGIS Online, etc.) or other geospatial libraries and toolsets as required (GDAL, Apache Sedona, Databricks Mosaic, etc.) Implement and customize web APIs for interactive mapping and geospatial data visualization Collaborate with cross-functional teams to design and architect solutions that integrate GIS functionalities into existing systems and workflows Create and optimize database structures to efficiently store and manage geospatial data Write clean, modular, and well-documented code in .NET and Python to support automation and data processing tasks Troubleshoot, debug, and resolve issues related to GIS applications, data, and performance Participate in code reviews, testing, and deployment processes to ensure high-quality software releases Stay up-to-date on emerging GIS technologies and industry best practices Required Skills And Experience Bachelor’s degree in Computer Science, Information Technology, Geospatial Science, or a related field. Proven experience with ArcGIS SDKs and ESRI web APIs Strong understanding of the full ESRI stack Experience in .NET (C#) for application development Experience in Python and the use of ArcPy for development of geoprocessing services on ArcGIS Enterprise GIS Server Demonstrated experience developing and deploying web GIS applications Solid knowledge of geospatial concepts (coordinate systems, projections, spatial analysis) Familiarity with relational databases and spatial databases (e.g., SQL Server, PostgreSQL/PostGIS) Excellent problem-solving and communication skills Preferred Skills And Experience Masters in degree in Computer Science, Information Technology, Geospatial Science, or a related field. Experience with cloud platforms (Azure, AWS) for hosting and managing GIS applications Knowledge of modern front-end frameworks (React/ Angular) for web development Experience with Spark and/or Databricks for distributed computing workloads Experience with Spark geospatial libraries and tools such as Apache Sedona, ESRI GeoAnalytics Engine, and/or Databricks Mosaic Experience with DevOps practices, SDLC, CI/CD pipelines, etc. Professional certifications in ESRI technologies Show more Show less

JOB RESPONSIBILITIES:- Design, develop, and deploy interactive GIS web applications using Esri technologies. Work with ArcGIS API for JavaScript, ArcGIS Server, ArcGIS Online, and Web AppBuilder to create web mapping solutions. Develop and customize widgets and tools for GIS applications. Integrate GIS applications with databases (PostGIS, SQL Server, etc.) and external APIs. Optimize GIS applications for performance, scalability, and user experience. Troubleshoot and debug GIS web applications. Work closely with GIS analysts, UI/UX designers, and software engineers to implement mapping solutions. Maintain security best practices for web-based GIS applications.

Minimum Qualifications: - BA/BSc/B.E./BTech degree from Tier I, II college in Computer Science, Statistics, Mathematics, Economics or related fields - 1to 4 years of experience in working with data and conducting statistical and/or numerical analysis - Strong understanding of how data can be stored and accessed in different structures - Experience with writing computer programs to solve problems - Strong understanding of data operations such as sub-setting, sorting, merging, aggregating and CRUD operations - Ability to write SQL code and familiarity with R/Python, Linux shell commands - Be willing and able to quickly learn about new businesses, database technologies and analysis techniques - Ability to tell a good story and support it with numbers and visuals - Strong oral and written communication Preferred Qualifications: - Experience working with large datasets - Experience with AWS analytics infrastructure (Redshift, S3, Athena, Boto3) - Experience building analytics applications leveraging R, Python, Tableau, Looker or other - Experience in geo-spatial analysis with POSTGIS, QGIS Apply Save Save Pro Insights

Role & responsibilities 1. Data Collection & Processing Gather spatial data from multiple sources (satellite imagery, GPS, field surveys, etc.) Process and clean raw GIS data for analysis Convert data between different coordinate systems and formats. 2. Mapping & Visualization Create detailed maps, models, and reports using GIS software (e.g., ArcGIS, QGIS) Perform spatial analysis to support decision-making Maintain and update GIS databases with new data 3. Software & Tools Usage Work with GIS software (ArcGIS, QGIS, AutoCAD, AutoCAD Revit, Google Earth, etc.) Use Python or SQL for automation and database queries (if required) Handle geospatial databases (PostGIS, PostgreSQL, etc.) 4. Spatial Analysis & Problem solving Conduct topographical, hydrological, and urban planning analysis Identify patterns, trends, and relationships in spatial data Assist in geocoding, network analysis, and remote sensing projects 5. Support for engineering & Infrastructure projects Provide GIS support for civil engineering, urban planning, transportation, and utility mapping Work on site suitability analysis, environmental impact assessments, and land use planning 6. Collaboration & Documentation Work with senior engineers, planners, and project managers to meet GIS-related project goals Document GIS methodologies, findings, and workflows Provide technical support to teams using GIS tool Preferred candidate profile 1. Higher technical education in the field of: machine construction, mechanics, automation and robotics, mechatronics, or related fields 2. Very good knowledge of technical drawing 3. At least 2 years of experience in an independent designer role (preferred: R&D department, manufacturing company) 4. Knowledge of 3D and 2D programs - Inventor, AutoCAD, AutoCAD Revit and MS Office suite 5. Communicative knowledge of English 6. Creativity, independence in action 7. Spatial imagination and technical sense 8. Willingness to occasionally travel for site visits 9. Very good organizational skills, ability to set priorities Nice to have: 1. Knowledge of SketchUp software 2. Knowledge of processing: sheet metal bending, machining, welding 3. Knowledge of automation and pneumatics

Position: Database Developer Location: Jaipur Experience: 4-7 years Responsibilities: · Coordinating and participating in the design, development and creative support of web based projects · Consulting with clients and the development team to ensure the use of effective technologies for user interface designs associated with enterprise-level business applications. · Internal design support for multiple company initiatives. Required skills: · Good knowledge of Postgres DB & PostGIS. · Knowledge of ClickHouse and NoSql is preferrable. · High level of DB design skill and technical proficiency. · An online portfolio with lots of potential. · Knowledge of web schema design, optimization and best practices. · Familiar with API concept. Qualities: · Take direction well, but also be able to make decisions, take initiative and customer service focused. · Energized about web information architecture and user experience design. · Up-to-date on the latest web technologies. · Professional, dependable, solid work ethic, detail-oriented, self motivated and problem solver. · Work with developers and QA to ensure flawless execution of the visual design. Role Qualifications: · Associates degree in a related field required · Bachelor's degree preferred. Show more Show less

Who We Are Brightly, the global leader in intelligent asset management solutions, enables organizations to transform the performance of their assets. Brightly’s sophisticated cloud-based platform leverages more than 20 years of data to deliver predictive insights that help users through the key phases of the entire asset lifecycle. More than 12,000 clients of every size worldwide depend on Brightly’s complete suite of intuitive software – including CMMS, EAM, Strategic Asset Management, IoT Remote Monitoring, Sustainability and Community Engagement. Paired with award-winning training, support and consulting services, Brightly helps light the way to a bright future with smarter assets and sustainable communities. About The Job Brightly Software continues to grow and needs amazing engineers. We are looking for a skilled Senior Software Engineer with a strong background in Geographic Information Systems (GIS) and expertise in Node.js. As an SSE in this role, you will be responsible for designing, developing, and maintaining advanced GIS-based software applications using Node.js to process, analyze, and visualize geospatial data. You will play a key role in building scalable, high-performance systems while collaborating with cross-functional teams to integrate geospatial data into modern web and backend systems. What You’ll Be Doing GIS Software Development: Lead the development of GIS solutions, leveraging Node.js to build APIs and backend services that interact with spatial data. Geospatial Data Integration: Integrate geospatial data sources (e.g., shapefiles, GeoJSON, raster data) into applications, ensuring accurate data processing and management. Node.js Application Development: Design and implement backend solutions using Node.js, focusing on performance, security, and scalability to process large geospatial datasets. API Development: Develop and maintain RESTful APIs that expose geospatial data and GIS services, ensuring smooth integration with other systems and frontend applications. Spatial Data Management: Optimize databases for handling geospatial data, utilizing PostGIS, MongoDB, or other spatial database technologies. Collaboration & Mentorship: Work closely with front-end developers, product managers, and other engineers to ensure GIS features meet business requirements. Mentor junior engineers, providing technical guidance and best practices. Performance Optimization: Continuously monitor and optimize GIS systems for performance, reliability, and data throughput. Documentation & Best Practices: Create and maintain clear technical documentation for geospatial APIs, services, and architectures. Ensure coding standards and best practices are followed. Continuous Learning: Stay up to date with emerging technologies and trends in both GIS and Node.js development to drive innovation in the team. Support our products, identify and fix root causes of production incidents, own troubleshooting and resolution of production issues across teams. Own discovery, solutioning, monitoring, incident resolution – imbibe and socialize DevOps mindset. Own product quality and work to quickly address production defects. Embed a DevOps mentality within the team. Serve as a senior member for your team as needed or special purpose projects per business priority. Identify & own coaching opportunities. Stay current with learning current trends in technology and mentor and guide junior engineers and interns. Partner with Tech Leads, architects, engineers, development managers, product managers, agile coaches across the engineering practice in an agile environment, with scrum implemented at scale globally. Driver in continuous improvement processes through metrics and feedback. Welcome, change and complexity. Learn quickly and adapt fast. Be a change leader! What You Need Bachelor’s or master’s degree in computer science, Geospatial Sciences, Geography, Engineering, or a related field. 5+ years of experience in software development, with at least 2-3 years focused on GIS applications. Strong experience with Node.js for backend development. Expertise in GIS technologies (ArcGIS, QGIS, GeoServer, MapServer, etc.) and spatial data formats (GeoJSON, KML, shapefiles). Experience with spatial databases (PostGIS, MongoDB with GeoJSON support, etc.). Solid understanding of RESTful API design and development. Advanced knowledge of Node.js and JavaScript (ES6+). Familiarity with geospatial libraries like GDAL, GeoPandas, Turf.js, or other JavaScript-based spatial libraries. Strong experience with version control systems like Git and agile development practices. Knowledge of cloud platforms (AWS, Azure) and deployment tools (Docker, Kubernetes) is a plus. Strong problem-solving abilities, with a focus on optimizing geospatial data handling and processing. Ability to communicate complex technical concepts to both technical and non-technical team members. A proactive team player who thrives in a collaborative environment. 3+ years’ unit testing, mocking frameworks, automation frameworks. DevOps mindset – 3+ years’ experience in CI/CD, SDLC environment, implemented exception handling, logging, monitoring, performance measurement, operational metrics knowledge. 3+ years’ experience working in agile methodologies (Scrum, Kanban) Strong communication, partnership, teamwork, and influencing skills required. Technologies NodeJS/ NestJS Framework Messaging framework (ActiveMQ/Kafka) SQL Server/MySql/MongoDB or Postgres Javascript, jQuery, HTML, CSS Dockerization and Containerization Reactive programming Markup languages like XML/JSON/Yaml In depth knowledge of version tools like Git/Bitbucket Expertise in GIS technologies (ArcGIS, QGIS, GeoServer, MapServer, etc.) and spatial data formats (GeoJSON, KML, shapefiles). Experience with spatial databases (PostGIS, MongoDB with GeoJSON support, etc.). Bonus Points Openshift/Kubernetes Open-source contribution, repositories, personal projects Participation in communities of interest, meetups Certifications in technology, agile methodologies Prior experience in agile implemented at scale across multiple teams globally Javascript, jQuery, HTML, CSS The Brightly culture Service. Ingenuity. Integrity. Together. These values are core to who we are and help us make the best decisions, manage change, and provide the foundations for our future. These guiding principles help us innovate, flourish and make a real impact in the businesses and communities we help to thrive. We are committed to the great experiences that nurture our employees and the people we serve while protecting the environments in which we live. Together we are Brightly Show more Show less

About the job Brightly Software continues to grow and needs amazing engineers. We are looking for a skilled Senior Software Engineer with a strong background in Geographic Information Systems (GIS) and expertise in Node.js. As an SSE in this role, you will be responsible for designing, developing, and maintaining advanced GIS-based software applications using Node.js to process, analyze, and visualize geospatial data. You will play a key role in building scalable, high-performance systems while collaborating with cross-functional teams to integrate geospatial data into modern web and backend systems. What youll be doing GIS Software Development: Lead the development of GIS solutions, leveraging Node.js to build APIs and backend services that interact with spatial data. Geospatial Data Integration: Integrate geospatial data sources (e.g., shapefiles, GeoJSON, raster data) into applications, ensuring accurate data processing and management. Node.js Application Development: Design and implement backend solutions using Node.js, focusing on performance, security, and scalability to process large geospatial datasets. API Development: Develop and maintain RESTful APIs that expose geospatial data and GIS services, ensuring smooth integration with other systems and frontend applications. Spatial Data Management: Optimize databases for handling geospatial data, utilizing PostGIS, MongoDB, or other spatial database technologies. Collaboration & Mentorship: Work closely with front-end developers, product managers, and other engineers to ensure GIS features meet business requirements. Mentor junior engineers, providing technical guidance and best practices. Performance Optimization: Continuously monitor and optimize GIS systems for performance, reliability, and data throughput. Documentation & Best Practices: Create and maintain clear technical documentation for geospatial APIs, services, and architectures. Ensure coding standards and best practices are followed. Continuous Learning: Stay up to date with emerging technologies and trends in both GIS and Node.js development to drive innovation in the team. Support our products, identify and fix root causes of production incidents, own troubleshooting and resolution of production issues across teams. Own discovery, solutioning, monitoring, incident resolution imbibe and socialize DevOps mindset. Own product quality and work to quickly address production defects. Embed a DevOps mentality within the team. Serve as a senior member for your team as needed or special purpose projects per business priority. Identify & own coaching opportunities. Stay current with learning current trends in technology and mentor and guide junior engineers and interns. Partner with Tech Leads, architects, engineers, development managers, product managers, agile coaches across the engineering practice in an agile environment, with scrum implemented at scale globally. Driver in continuous improvement processes through metrics and feedback. Welcome, change and complexity. Learn quickly and adapt fast. Be a change leader! What you need Bachelors or masters degree in computer science, Geospatial Sciences, Geography, Engineering, or a related field. 5+ years of experience in software development, with at least 2-3 years focused on GIS applications. Strong experience with Node.js for backend development. Expertise in GIS technologies (ArcGIS, QGIS, GeoServer, MapServer, etc.) and spatial data formats (GeoJSON, KML, shapefiles). Experience with spatial databases (PostGIS, MongoDB with GeoJSON support, etc.). Solid understanding of RESTful API design and development. Advanced knowledge of Node.js and JavaScript (ES6+). Familiarity with geospatial libraries like GDAL, GeoPandas, Turf.js, or other JavaScript-based spatial libraries. Strong experience with version control systems like Git and agile development practices. Knowledge of cloud platforms (AWS, Azure) and deployment tools (Docker, Kubernetes) is a plus. Strong problem-solving abilities, with a focus on optimizing geospatial data handling and processing. Ability to communicate complex technical concepts to both technical and non-technical team members. A proactive team player who thrives in a collaborative environment. 3+ years unit testing, mocking frameworks, automation frameworks. DevOps mindset 3+ years experience in CI/CD, SDLC environment, implemented exception handling, logging, monitoring, performance measurement, operational metrics knowledge. 3+ years experience working in agile methodologies (Scrum, Kanban) Strong communication, partnership, teamwork, and influencing skills required. Technologies: NodeJS/ NestJS Framework Messaging framework (ActiveMQ/Kafka) SQL Server/MySql/MongoDB or Postgres Javascript, jQuery, HTML, CSS Dockerization and Containerization Reactive programming Markup languages like XML/JSON/Yaml In depth knowledge of version tools like Git/Bitbucket Expertise in GIS technologies (ArcGIS, QGIS, GeoServer, MapServer, etc.) and spatial data formats (GeoJSON, KML, shapefiles). Experience with spatial databases (PostGIS, MongoDB with GeoJSON support, etc.). Bonus Points: Openshift/Kubernetes Open-source contribution, repositories, personal projects Participation in communities of interest, meetups Certifications in technology, agile methodologies Prior experience in agile implemented at scale across multiple teams globally Javascript, jQuery, HTML, CSS

Job Title: GIS Data Analyst Experience: 4 to 8 Years Location: Chennai, Hyderabad (also open to Pune, NCR) Employment Type: Full-timeJob Summary:We are looking for a skilled and detail-oriented GIS Data Analyst with strong expertise in spatial data analysis, transformation, and migration. The ideal candidate should have hands-on experience with ArcGIS Pro, GeoProcessing Tasks, PostgreSQL + PostGIS, and FME ETL processes. This role involves working with a variety of GIS data formats, executing spatial analysis, and supporting data transformation/migration projects.Key Responsibilities:Perform spatial data editing, transformation, and analysis using tools like ArcGIS Pro and GeoProcessing Tasks.Work with a variety of GIS data formats, including FGDB, Shapefiles, and CSV, ensuring smooth data manipulation and integration.Execute spatial queries and perform analysis in PostgreSQL + PostGIS.Support ETL processes for spatial data transformation using FME, ArcGIS Data Interoperability, and Python.Maintain and manage Esri GeoDatabases, specifically within PostgreSQL.Collaborate with cross-functional teams to ensure accurate and efficient data handling.Participate in GIS application testing and ensure the quality and integrity of spatial data.Troubleshoot and resolve any spatial data-related issues in a timely manner.Must-Have Skills:3 to 8 years of hands-on GIS experience, with at least 1 year in data transformation/migration projects.Proficiency with ArcGIS Pro, GeoProcessing Tools/Tasks, and Esri GeoDatabases.Experience in spatial data transformation, ETL processes, and using tools like FME, ArcGIS Data Interoperability, or Python.Solid experience executing spatial queries and working with PostgreSQL + PostGIS.Strong understanding of SQL, relational database concepts, and spatial analysis techniques.Excellent analytical and problem-solving skills.Good-to-Have Skills:Knowledge of Utility Network Model and its integration in GIS workflows.Experience with ArcGIS Enterprise for managing and distributing GIS content.Strong verbal and written communication skills.Experience in GIS application testing to ensure functionality and data quality.Why Join Us?Work in a collaborative and dynamic environment with opportunities to handle large and complex GIS datasets.Exposure to cutting-edge technologies in GIS and spatial data analysis.A flexible work environment with opportunities for skill development and career advancement.Apply now if you are passionate about GIS, spatial data analysis, and solving complex data challenges in a growing and innovative team.

We’re Hiring at QPo Cabs: Senior Backend DeveloperExperience: 1+ yearLocation: Chennai (Hybrid/On-site)Salary: ₹30,000 – ₹50,000/month Join QPo Cabs, a fast-growing shared mobility startup, and help us build scalable, real-time systems that move the city. Tech Stack: • Languages & Frameworks: Node.js, Express.js, Golang • Databases & Storage: PostgreSQL, MongoDB, Redis • Architecture & Messaging: Kafka, RabbitMQ, AWS Services, Kong API Gateway • Real-Time & Geospatial: WebSockets, gRPC, MQTT, PostGIS • DevOps & Infrastructure: AWS, Docker, Kubernetes, Terraform We’re solving for urban mobility — one ride at a time. Apply here: https://forms.gle/LyLgwDtjehD1fnWi9

About the RoleWe are looking for a skilled QGIS Developer to join our geospatial technology team. The ideal candidate will have experience working with QGIS and other open-source GIS tools to develop, customize, and deploy geospatial solutions for real-world use cases. Key ResponsibilitiesDevelop and customize QGIS plugins using Python (PyQGIS)Integrate QGIS with external data sources (PostGIS, GeoServer, APIs, etc.)Work with shapefiles, raster data, WMS/WFS layers, and coordinate systemsAutomate spatial data processing workflowsCollaborate with data analysts and product teams to visualize geospatial dataTroubleshoot GIS data issues and provide technical supportDocument development processes and maintain code repositories Required SkillsStrong proficiency in QGIS and PyQGISGood understanding of geospatial concepts (projections, vector/raster data, etc.)Experience with Python, PostGIS, and GeoServerFamiliarity with GIS file formats like Shapefiles, GeoJSON, KML, and TIFFHands-on experience working with spatial databasesComfortable with version control tools like GitAbility to work independently and manage tasks within deadlines Preferred QualificationsBachelor’s or Master’s degree in Geoinformatics, Computer Science, Geography, or related fieldExperience with web map frameworks (e.g., Leaflet, OpenLayers, Mapbox)Familiarity with QGIS Server and QGIS Web ClientKnowledge of Indian geospatial datasets and mapping standards

Job Summary: We are seeking an experienced and highly motivated Database Administrator (DBA) to join our team. The ideal candidate will be responsible for the design, implementation, performance tuning, and maintenance of relational (MSSQL, PostgreSQL) and NoSQL (MongoDB) databases, both on-premises and in cloud environments (AWS, Azure, GCP). You will ensure data integrity, security, availability, and optimal performance across all platforms. Key Responsibilities: Database Management & Optimization Install, configure, and upgrade database servers (MSSQL, PostgreSQL, MongoDB). Monitor performance, optimize queries, and tune databases for efficiency. Implement and manage database clustering, replication, sharding, and high availability. Cloud Database Administration Manage cloud-based database services (e.g., Amazon RDS, Azure SQL Database, GCP Cloud SQL, MongoDB Atlas). Automate backup, failover, patching, and scaling in the cloud environment. Ensure secure access, encryption, and compliance in the cloud. ETL and Dev Ops experience is desirable. Backup, Recovery & Security Design and implement robust backup and disaster recovery plans. Regularly test recovery processes to ensure minimal downtime. Apply database security best practices (roles, permissions, auditing, encryption). Scripting & Automation Develop scripts for automation (using PowerShell, Bash, Python, etc.). Automate repetitive DBA tasks using DevOps/CI-CD tools (Terraform, Ansible, etc.). Collaboration & Support Work closely with developers, DevOps, and system admins to support application development. Assist with database design, indexing strategy, schema changes, and query optimization. Provide 24/7 support for critical production issues (on-call rotation may apply). Key Skills & Qualifications: Bachelors degree in computer science, Information Technology, or related field. 5+ years of experience as a DBA with production experience in: o MSSQL Server (SQL Server 2016 and above) o PostgreSQL (including PostGIS, logical/physical replication) o MongoDB (including MongoDB Atlas, replica sets, sharding) Experience with cloud database services (AWS RDS, Azure SQL, GCP Cloud SQL). Strong understanding of performance tuning, indexing, and query optimization. Solid grasp of backup and restore strategies, disaster recovery, and HA setups. Familiarity with monitoring tools (e.g., Prometheus, Datadog, New Relic, Zabbix). Knowledge of scripting languages (PowerShell, Bash, or Python). Understanding of DevOps principles, version control (Git), CI/CD pipelines. Preferred Qualifications: Certification in any cloud platform (AWS/Azure/GCP). Microsoft Certified: Azure Database Administrator Associate. Experience with Kubernetes Operators for databases (e.g., Crunchy Postgres Operator). Experience with Infrastructure as Code (Terraform, CloudFormation).

Job Title: Senior Database Architect / PostgreSQL DBA Consultant Job Type: Part-time / Consulting (Flexible engagement model) Location: Remote (Preferred overlap with IST working hours) Duration: 3-6 months (extendable based on performance and scope) About the Role: The client is undergoing rapid growth and data scale-up and seeks an experienced Database Architect/DBA Consultant to help manage, optimize, and future-proof their high-volume data infrastructure. The role involves proactive database operations, schema evaluation, query optimization, and cost-efficiency planning in a PostgreSQL-heavy environment, with auxiliary tools like Redis, Snowflake, and object storage. Key Responsibilities: Assess and monitor the health of a large-scale PostgreSQL (Aurora RDS) database (>50 TB). Identify and resolve performance bottlenecks, including I/O, memory, and CPU-related issues. Optimize long-running SQL queries, indexes, and schema design. Reinstate and tune auto-vacuum settings to improve DB hygiene. Implement guardrails for observability, monitoring, query control, and DB health. Design data retention and purging policies to reduce storage bloat. Consult with application teams on schema redesign and query optimization. Guide transition and offloading of analytical workloads to Snowflake. Recommend cost-effective strategies to reduce AWS resource consumption. Collaborate with business analysts and developers to align DB performance with app functionality. Required Skills: 12+ years of experience in PostgreSQL database administration and architecture. Hands-on experience with Amazon RDS (Aurora) and AWS cost/performance optimization. Expertise in query tuning, indexing strategies, and storage management. Strong understanding of geospatial queries, time-series data, and large-scale data processing. Familiarity with Redis, Snowflake, and object storage (e.g., S3). Experience managing data-intensive platforms with complex reporting and analytics needs. Knowledge of observability tools, query logging, and alerting systems. Nice to Have: Experience with Apache Iceberg, PostGIS, or other geospatial extensions. Prior involvement in application re-architecture or migration projects. Exposure to DevOps or cost modeling for cloud-based DB infrastructure. Comfort working with both platform-level data teams and application developers. Soft Skills: Strong analytical and problem-solving skills. Ability to work independently in a fast-paced environment. Effective communicator and team collaborator. Ability to mentor teams on best practices.

Interested candidates please send resume on monali.k@epictechresearch.com Department: Technology / Geospatial Services Location: Pune Employment Type: Full-time Job Summary: We are seeking an experienced GIS Architect to lead the design, development, and implementation of advanced Geographic Information Systems (GIS) solutions. The ideal candidate will have a strong background in spatial data, geospatial technologies, enterprise GIS architectures, and integration with cloud and enterprise IT systems. As a GIS Architect, you will provide strategic direction and technical leadership to ensure scalable, secure, and high-performing GIS platforms. Key Responsibilities: • Solution Architecture: • Design scalable, maintainable, and secure GIS architecture to meet business and technical requirements. • Enterprise GIS Strategy: • Define enterprise GIS roadmaps, standards, and best practices aligning with IT strategy and business goals. • System Integration: • Integrate GIS with other enterprise systems (ERP, CRM, Asset Management, IoT, etc.) using APIs and middleware. • Cloud & Infrastructure: • Lead cloud migration strategies (Azure/AWS/GCP) for GIS workloads. Define storage, networking, and compute architecture for GIS platforms. • Data Management: • Define spatial data models, ETL pipelines, metadata standards, and data governance processes. • Application Development Oversight: • Provide guidance on the development of custom GIS applications, web maps, and mobile apps using platforms like Esri, Mapbox, or open-source frameworks. • Security & Compliance: • Ensure GIS solutions meet security, compliance, and data privacy standards. • Collaboration & Leadership: • Collaborate with cross-functional teams, mentor GIS developers and analysts, and communicate architectural decisions to stakeholders. Required Qualifications: • Bachelors or Masters degree in GIS, Computer Science, Geography, Engineering, or related field. • 8+ years of experience in GIS technologies with at least 3 years in a GIS Architect or technical leadership role. • Expertise with Esri ArcGIS platform (ArcGIS Enterprise, ArcGIS Pro, ArcGIS Online). • Hands-on experience with spatial databases like PostGIS, Oracle Spatial, SQL Server Spatial. • Strong knowledge of cloud-based GIS deployment on Azure, AWS, or GCP. • Experience in enterprise integration using REST APIs, web services, and messaging systems. • Familiarity with open-source GIS tools (QGIS, GeoServer, OpenLayers, Leaflet) is a plus. • Understanding of DevOps practices, CI/CD, containerization (Docker, Kubernetes) is an advantage. • Excellent problem-solving, communication, and project management skills. • Experience in integrating MAP in Angular application Preferred Certifications (Optional): • Esri Certified Enterprise System Design Professional • AWS / Azure Cloud Architect Certifications • PMP or TOGAF certification • Experience in form io library.

Experience: 58 years Start Date: Immediate or within 15 days Employment Type: Contract Full-time (as applicable) Job Overview We are seeking highly skilled GIS Data Engineers with strong expertise in Python , PySpark , and geospatial data processing to support the integration and analysis of spatial datasets. The selected candidates will work on large-scale data engineering projects in a distributed environment, focusing on building pipelines and workflows that support geospatial analytics and visualization. Key Responsibilities Develop and maintain scalable ETL pipelines using PySpark and Python for processing GIS and spatial datasets Work with large geospatial datasets from various sources (e.g., shapefiles, GeoJSON, raster formats, satellite data) Integrate geospatial data with enterprise systems (e.g., PostgreSQL/PostGIS, Big Data platforms) Optimize queries and data transformations for performance and accuracy Collaborate with data scientists, GIS analysts, and business users to deliver data solutions Implement best practices for data quality, versioning, and lineage in spatial data pipelines Troubleshoot data issues and support production data workflows Required Skills Strong hands-on experience with PySpark (Apache Spark with Python) Advanced Python programming skills, especially in data handling and automation Experience with geospatial libraries such as GeoPandas, Shapely, Fiona, Rasterio, or GDAL Proficient in working with GIS formats (shapefiles, raster data, GeoTIFFs, KML, etc.) Knowledge of spatial databases like PostGIS or GeoServer Hands-on experience with data lakes, big data processing, and cloud platforms (Azure/AWS/GCP preferred) Strong understanding of data structures, algorithms, and spatial indexing Nice To Have Familiarity with MapReduce, Hive, or Databricks Prior experience in geospatial analytics, remote sensing, or urban planning domains Knowledge of DevOps, CI/CD pipelines, and containerization tools (Docker, Kubernetes) Soft Skills Excellent communication and collaboration abilities Problem-solving mindset and attention to detail Ability to work independently in a client-facing onsite role Skills : postgis,rasterio,azure,gcp,shapely,fiona,big data platforms,pyspark,gis,geopandas,gdal,aws,python